Overview

Brought to you by YData

Dataset statistics

Number of variables18
Number of observations14145
Missing cells6049
Missing cells (%)2.4%
Duplicate rows32
Duplicate rows (%)0.2%
Total size in memory2.6 MiB
Average record size in memory189.4 B

Variable types

Text15
Categorical3

Alerts

Dataset has 32 (0.2%) duplicate rowsDuplicates
LeadingIndustry is highly overall correlated with LeadingLobHigh correlation
LeadingLob is highly overall correlated with LeadingIndustryHigh correlation
AppType is highly imbalanced (62.9%) Imbalance
LeadingIndustry is highly imbalanced (80.1%) Imbalance
LeadingLob is highly imbalanced (75.8%) Imbalance
CombinedTitle has 1250 (8.8%) missing values Missing
RoleCombinedToolTipDescription has 4784 (33.8%) missing values Missing

Reproduction

Analysis started2025-08-12 09:16:46.282173
Analysis finished2025-08-12 09:16:52.282082
Duration6 seconds
Software versionydata-profiling vv4.16.1
Download configurationconfig.json

Variables

Distinct2966
Distinct (%)21.0%
Missing0
Missing (%)0.0%
Memory size737.1 KiB
2025-08-12T11:16:52.712005image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length33574
Median length0
Mean length415.1655
Min length0

Characters and Unicode

Total characters5872516
Distinct characters138
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2581 ?
Unique (%)18.2%

Sample

1st row You can obtain overviews for the following object types: Orders Business processes Cost centers Cost objects Materials Work breakdown structures Sales order items Real Estate Objects (RE-FX); The overviews for this object type are only available when the component Flexible Real Estate Management (RE-FX) is activated in the client. You can obtain the following overviews for all of the object types listed above: Overview of non-assigned objects for the relevant object type (such as materials that are not assigned to a profit center) Overview of objects for the relevant object type that are assigned to a specific profit center (such as all cost centers that are assigned to profit center A) or that are assigned to a profit center from a specific profit center group Some object types have special features: For orders , you can analyze the assignments to the following order types: internal order (Controlling), accrual order (Controlling), CO production order, production cost collector, QM order, PP production order, network header, maintenance order, and process order. For Cost Centers , you can additionally display the profit centers to which no cost center has yet been assigned. For Cost Objects, general cost objects are included as well as the cost objects for process manufacturing. For materials, you can additionally navigate to Fast Assignment of Materials , which lets you assign a large number of materials to a unique profit center. For the overviews of sales order items , the following applies: The system checks the read authorization for order types and sales organizations and only displays objects that have the corresponding read authorization. The system proceeds as follows with the selection criteria company code and sales organization : If you do not specify a company code, the system selects the company codes that are assigned to the set controlling area. If you do not specify a sales organization, the system selects the sales organizations that are assigned to the company codes. For the overviews of real estate objects , the following applies: If you do not specify a company code, the system selects the company codes that are assigned to the set controlling area. By double-clicking an object in the assignment overviews, you can navigate directly to the corresponding change transaction for that object. In this way, you can make any missing assignments or correct any incorrect ones.
2nd row
3rd row The Asset Accounting component consists of the following parts: Basic functions:Master data (asset maintenance) Basic valuation functions Depreciation Transactions, such as asset acquisitions and retirements Closing operations And more Special valuations: for example, for investment support Preparations for consolidation for group financial statements Information system The basic functions cover the entire life of the asset from the purchase order or initial acquisition (which can be managed as an asset under construction) all the way to the asset retirement. The system calculates, to a large extent automatically, the values for depreciation, interest and other purposes between these two points in time, and places this information at your disposal in varied form using the Information System. There is a report for depreciation forecasting and simulation of the development of asset values. The system enables you to manage values in parallel currencies using different types of valuation. These features simplify the process of preparing for the consolidation of multi-national group concerns. For parallel valuation, you can flexibly assign the depreciation areas of Asset Accounting to the ledgers of the general ledger. The system posts parallel values with the actual values in real time; separate documents are posted for each valuation (that is, each accounting principle). Note The following functions are covered by other components: The Plant Maintenance (PM) component offers functions for the technical management of assets in the form of functional locations and as equipment. The Treasury and Risk Management (TRM) component offers special functions for managing financial assets.
4th row
5th row
ValueCountFrequency (%)
the 73817
 
8.4%
to 21262
 
2.4%
you 19951
 
2.3%
for 19562
 
2.2%
and 17912
 
2.0%
of 16945
 
1.9%
in 16855
 
1.9%
a 16222
 
1.8%
can 12536
 
1.4%
is 9168
 
1.0%
Other values (14302) 654749
74.5%
2025-08-12T11:16:53.378555image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
950540
16.2%
e 570909
 
9.7%
t 444387
 
7.6%
a 366237
 
6.2%
n 359862
 
6.1%
o 344055
 
5.9%
i 328927
 
5.6%
s 323823
 
5.5%
r 288882
 
4.9%
c 196038
 
3.3%
Other values (128) 1698856
28.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 5872516
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
950540
16.2%
e 570909
 
9.7%
t 444387
 
7.6%
a 366237
 
6.2%
n 359862
 
6.1%
o 344055
 
5.9%
i 328927
 
5.6%
s 323823
 
5.5%
r 288882
 
4.9%
c 196038
 
3.3%
Other values (128) 1698856
28.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 5872516
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
950540
16.2%
e 570909
 
9.7%
t 444387
 
7.6%
a 366237
 
6.2%
n 359862
 
6.1%
o 344055
 
5.9%
i 328927
 
5.6%
s 323823
 
5.5%
r 288882
 
4.9%
c 196038
 
3.3%
Other values (128) 1698856
28.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 5872516
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
950540
16.2%
e 570909
 
9.7%
t 444387
 
7.6%
a 366237
 
6.2%
n 359862
 
6.1%
o 344055
 
5.9%
i 328927
 
5.6%
s 323823
 
5.5%
r 288882
 
4.9%
c 196038
 
3.3%
Other values (128) 1698856
28.9%
Distinct13903
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size737.1 KiB
2025-08-12T11:16:53.889441image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length1464
Median length248
Mean length34.331849
Min length4

Characters and Unicode

Total characters485624
Distinct characters82
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13678 ?
Unique (%)96.7%

Sample

1st rowProfit Center Assignment Monitor
2nd rowReverse Journal Entry - Asset Accounting-Specific
3rd rowPost Depreciation Manually - Unplanned and Planned
4th rowPost Retirement (Non-Integrated) - Without Customer
5th rowPost Retirement - By Scrapping
ValueCountFrequency (%)
4955
 
7.3%
display 1919
 
2.8%
for 1348
 
2.0%
create 1341
 
2.0%
manage 1101
 
1.6%
change 921
 
1.3%
maintain 731
 
1.1%
data 662
 
1.0%
of 653
 
1.0%
list 539
 
0.8%
Other values (4422) 54117
79.2%
2025-08-12T11:16:54.563410image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
54179
 
11.2%
e 46137
 
9.5%
a 33388
 
6.9%
t 33141
 
6.8%
n 31451
 
6.5%
i 29408
 
6.1%
r 26393
 
5.4%
s 25388
 
5.2%
o 25196
 
5.2%
l 16730
 
3.4%
Other values (72) 164213
33.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 485624
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
54179
 
11.2%
e 46137
 
9.5%
a 33388
 
6.9%
t 33141
 
6.8%
n 31451
 
6.5%
i 29408
 
6.1%
r 26393
 
5.4%
s 25388
 
5.2%
o 25196
 
5.2%
l 16730
 
3.4%
Other values (72) 164213
33.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 485624
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
54179
 
11.2%
e 46137
 
9.5%
a 33388
 
6.9%
t 33141
 
6.8%
n 31451
 
6.5%
i 29408
 
6.1%
r 26393
 
5.4%
s 25388
 
5.2%
o 25196
 
5.2%
l 16730
 
3.4%
Other values (72) 164213
33.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 485624
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
54179
 
11.2%
e 46137
 
9.5%
a 33388
 
6.9%
t 33141
 
6.8%
n 31451
 
6.5%
i 29408
 
6.1%
r 26393
 
5.4%
s 25388
 
5.2%
o 25196
 
5.2%
l 16730
 
3.4%
Other values (72) 164213
33.8%

AppType
Categorical

Imbalance 

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size737.1 KiB
SAP GUI
10377 
Transactional
2000 
Web Dynpro
 
900
Analytical
 
396
Web Client UI
 
128
Other values (8)
 
344

Length

Max length37
Median length7
Mean length8.5204666
Min length7

Characters and Unicode

Total characters120522
Distinct characters33
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st rowSAP GUI
2nd rowSAP GUI
3rd rowSAP GUI
4th rowSAP GUI
5th rowSAP GUI

Common Values

ValueCountFrequency (%)
SAP GUI 10377
73.4%
Transactional 2000
 
14.1%
Web Dynpro 900
 
6.4%
Analytical 396
 
2.8%
Web Client UI 128
 
0.9%
Reuse Component 112
 
0.8%
Transactional, Reuse Component 83
 
0.6%
Transactional, Analytical 67
 
0.5%
Fact sheet 46
 
0.3%
Transactional, Fact sheet 14
 
0.1%
Other values (3) 22
 
0.2%

Length

2025-08-12T11:16:54.728248image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
sap 10377
39.7%
gui 10377
39.7%
transactional 2164
 
8.3%
web 1049
 
4.0%
dynpro 921
 
3.5%
analytical 485
 
1.9%
reuse 195
 
0.7%
component 195
 
0.7%
client 128
 
0.5%
ui 128
 
0.5%
Other values (5) 146
 
0.6%

Most occurring characters

ValueCountFrequency (%)
12020
10.0%
A 10862
 
9.0%
I 10505
 
8.7%
U 10505
 
8.7%
S 10377
 
8.6%
G 10377
 
8.6%
P 10377
 
8.6%
a 7523
 
6.2%
n 6252
 
5.2%
o 3475
 
2.9%
Other values (23) 28249
23.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 120522
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
12020
10.0%
A 10862
 
9.0%
I 10505
 
8.7%
U 10505
 
8.7%
S 10377
 
8.6%
G 10377
 
8.6%
P 10377
 
8.6%
a 7523
 
6.2%
n 6252
 
5.2%
o 3475
 
2.9%
Other values (23) 28249
23.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 120522
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
12020
10.0%
A 10862
 
9.0%
I 10505
 
8.7%
U 10505
 
8.7%
S 10377
 
8.6%
G 10377
 
8.6%
P 10377
 
8.6%
a 7523
 
6.2%
n 6252
 
5.2%
o 3475
 
2.9%
Other values (23) 28249
23.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 120522
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
12020
10.0%
A 10862
 
9.0%
I 10505
 
8.7%
U 10505
 
8.7%
S 10377
 
8.6%
G 10377
 
8.6%
P 10377
 
8.6%
a 7523
 
6.2%
n 6252
 
5.2%
o 3475
 
2.9%
Other values (23) 28249
23.4%
Distinct1127
Distinct (%)8.0%
Missing15
Missing (%)0.1%
Memory size737.1 KiB
2025-08-12T11:16:55.067003image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length60
Median length47
Mean length23.652937
Min length0

Characters and Unicode

Total characters334216
Distinct characters70
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique268 ?
Unique (%)1.9%

Sample

1st rowProfit Center Accounting
2nd rowBasic Functions
3rd rowAsset Accounting
4th rowBasic Functions
5th rowBasic Functions
ValueCountFrequency (%)
and 2668
 
6.3%
management 2109
 
5.0%
accounting 1538
 
3.6%
production 1137
 
2.7%
for 1070
 
2.5%
contract 1047
 
2.5%
revenue 923
 
2.2%
accounts 717
 
1.7%
fiori 699
 
1.7%
receivable 692
 
1.6%
Other values (1057) 29539
70.1%
2025-08-12T11:16:55.807257image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 33268
 
10.0%
e 29019
 
8.7%
28065
 
8.4%
a 25613
 
7.7%
t 23910
 
7.2%
i 22042
 
6.6%
o 20581
 
6.2%
r 16133
 
4.8%
c 15401
 
4.6%
s 12110
 
3.6%
Other values (60) 108074
32.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 334216
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
n 33268
 
10.0%
e 29019
 
8.7%
28065
 
8.4%
a 25613
 
7.7%
t 23910
 
7.2%
i 22042
 
6.6%
o 20581
 
6.2%
r 16133
 
4.8%
c 15401
 
4.6%
s 12110
 
3.6%
Other values (60) 108074
32.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 334216
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
n 33268
 
10.0%
e 29019
 
8.7%
28065
 
8.4%
a 25613
 
7.7%
t 23910
 
7.2%
i 22042
 
6.6%
o 20581
 
6.2%
r 16133
 
4.8%
c 15401
 
4.6%
s 12110
 
3.6%
Other values (60) 108074
32.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 334216
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
n 33268
 
10.0%
e 29019
 
8.7%
28065
 
8.4%
a 25613
 
7.7%
t 23910
 
7.2%
i 22042
 
6.6%
o 20581
 
6.2%
r 16133
 
4.8%
c 15401
 
4.6%
s 12110
 
3.6%
Other values (60) 108074
32.3%
Distinct1121
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Memory size737.1 KiB
2025-08-12T11:16:56.156768image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length3668
Median length2023
Mean length34.793496
Min length0

Characters and Unicode

Total characters492154
Distinct characters55
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique468 ?
Unique (%)3.3%

Sample

1st rowDivisional Accountant
2nd rowAsset Accountant
3rd rowAsset Accountant
4th rowAsset Accountant
5th rowAsset Accountant
ValueCountFrequency (%)
5505
 
9.0%
specialist 2946
 
4.8%
accountant 2900
 
4.7%
manager 2878
 
4.7%
for 1760
 
2.9%
accounts 1743
 
2.9%
iog 1508
 
2.5%
data 1443
 
2.4%
payable 1352
 
2.2%
receivable 1215
 
2.0%
Other values (330) 37900
62.0%
2025-08-12T11:16:56.785960image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
52490
 
10.7%
e 45271
 
9.2%
a 41244
 
8.4%
n 37043
 
7.5%
t 32882
 
6.7%
r 29196
 
5.9%
i 26070
 
5.3%
c 23068
 
4.7%
o 21871
 
4.4%
l 17171
 
3.5%
Other values (45) 165848
33.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 492154
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
52490
 
10.7%
e 45271
 
9.2%
a 41244
 
8.4%
n 37043
 
7.5%
t 32882
 
6.7%
r 29196
 
5.9%
i 26070
 
5.3%
c 23068
 
4.7%
o 21871
 
4.4%
l 17171
 
3.5%
Other values (45) 165848
33.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 492154
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
52490
 
10.7%
e 45271
 
9.2%
a 41244
 
8.4%
n 37043
 
7.5%
t 32882
 
6.7%
r 29196
 
5.9%
i 26070
 
5.3%
c 23068
 
4.7%
o 21871
 
4.4%
l 17171
 
3.5%
Other values (45) 165848
33.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 492154
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
52490
 
10.7%
e 45271
 
9.2%
a 41244
 
8.4%
n 37043
 
7.5%
t 32882
 
6.7%
r 29196
 
5.9%
i 26070
 
5.3%
c 23068
 
4.7%
o 21871
 
4.4%
l 17171
 
3.5%
Other values (45) 165848
33.7%

CombinedTitle
Text

Missing 

Distinct12635
Distinct (%)98.0%
Missing1250
Missing (%)8.8%
Memory size737.1 KiB
2025-08-12T11:16:57.219151image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length3587
Median length315
Mean length36.198216
Min length4

Characters and Unicode

Total characters466776
Distinct characters83
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12408 ?
Unique (%)96.2%

Sample

1st rowProfit Center Assignment Monitor
2nd rowReverse Journal Entry - Asset Accounting-Specific
3rd rowPost Depreciation Manually - Unplanned and Planned
4th rowPost Retirement (Non-Integrated) - Without Customer
5th rowPost Retirement - By Scrapping
ValueCountFrequency (%)
5481
 
8.3%
display 1816
 
2.8%
create 1290
 
2.0%
for 1229
 
1.9%
manage 1118
 
1.7%
change 865
 
1.3%
maintain 726
 
1.1%
data 644
 
1.0%
of 610
 
0.9%
list 530
 
0.8%
Other values (4199) 51633
78.3%
2025-08-12T11:16:58.386065image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
53070
 
11.4%
e 44379
 
9.5%
a 32387
 
6.9%
t 31900
 
6.8%
n 30256
 
6.5%
i 27895
 
6.0%
r 25087
 
5.4%
s 24472
 
5.2%
o 23904
 
5.1%
l 16255
 
3.5%
Other values (73) 157171
33.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 466776
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
53070
 
11.4%
e 44379
 
9.5%
a 32387
 
6.9%
t 31900
 
6.8%
n 30256
 
6.5%
i 27895
 
6.0%
r 25087
 
5.4%
s 24472
 
5.2%
o 23904
 
5.1%
l 16255
 
3.5%
Other values (73) 157171
33.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 466776
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
53070
 
11.4%
e 44379
 
9.5%
a 32387
 
6.9%
t 31900
 
6.8%
n 30256
 
6.5%
i 27895
 
6.0%
r 25087
 
5.4%
s 24472
 
5.2%
o 23904
 
5.1%
l 16255
 
3.5%
Other values (73) 157171
33.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 466776
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
53070
 
11.4%
e 44379
 
9.5%
a 32387
 
6.9%
t 31900
 
6.8%
n 30256
 
6.5%
i 27895
 
6.0%
r 25087
 
5.4%
s 24472
 
5.2%
o 23904
 
5.1%
l 16255
 
3.5%
Other values (73) 157171
33.7%
Distinct4030
Distinct (%)28.5%
Missing0
Missing (%)0.0%
Memory size737.1 KiB
2025-08-12T11:16:59.030580image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length6375
Median length410
Mean length431.9655
Min length0

Characters and Unicode

Total characters6110152
Distinct characters105
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3467 ?
Unique (%)24.5%

Sample

1st row The assignment monitor provides you with an overview of all the assignments that you have made from various objects to profit centers and supports you when you make or change assignments. Recommendation Incorrect assignments lead to incorrect transaction data in Profit Center Accounting, which can usually only be corrected with significant effort. We therefore recommend that you check the assignments carefully.
2nd rowThis app is a SAP GUI for HTML transaction. These classic transactions are available in the SAP Fiori theme to support a seamless user experience across the SAP Fiori launchpad and to provide a harmonized user experience across on-premise and cloud solutions. The single point of entry for SAP Fiori apps and classic applications in SAP S/4HANA Cloud Private Edition and SAP S/4HANA is the SAP Fiori launchpad.
3rd row Asset Accounting in the SAP system is used for managing and monitoring fixed assets. In Financial Accounting, it serves as a subsidiary ledger to the general ledger, providing detailed information on transactions involving fixed assets.
4th rowThis app is a SAP GUI for HTML transaction. These classic transactions are available in the SAP Fiori theme to support a seamless user experience across the SAP Fiori launchpad and to provide a harmonized user experience across on-premise and cloud solutions. The single point of entry for SAP Fiori apps and classic applications in SAP S/4HANA Cloud Private Edition and SAP S/4HANA is the SAP Fiori launchpad.
5th rowThis app is a SAP GUI for HTML transaction. These classic transactions are available in the SAP Fiori theme to support a seamless user experience across the SAP Fiori launchpad and to provide a harmonized user experience across on-premise and cloud solutions. The single point of entry for SAP Fiori apps and classic applications in SAP S/4HANA Cloud Private Edition and SAP S/4HANA is the SAP Fiori launchpad.
ValueCountFrequency (%)
the 62243
 
6.3%
sap 60343
 
6.1%
and 43726
 
4.4%
fiori 34653
 
3.5%
a 34207
 
3.5%
to 28305
 
2.9%
for 26105
 
2.7%
in 24953
 
2.5%
is 21096
 
2.1%
user 17485
 
1.8%
Other values (9062) 631962
64.2%
2025-08-12T11:16:59.861591image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
991051
16.2%
e 497961
 
8.1%
a 430647
 
7.0%
i 415064
 
6.8%
s 375337
 
6.1%
o 363571
 
6.0%
n 347498
 
5.7%
t 337376
 
5.5%
r 311535
 
5.1%
c 215605
 
3.5%
Other values (95) 1824507
29.9%

Most occurring categories

ValueCountFrequency (%)
(unknown) 6110152
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
991051
16.2%
e 497961
 
8.1%
a 430647
 
7.0%
i 415064
 
6.8%
s 375337
 
6.1%
o 363571
 
6.0%
n 347498
 
5.7%
t 337376
 
5.5%
r 311535
 
5.1%
c 215605
 
3.5%
Other values (95) 1824507
29.9%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 6110152
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
991051
16.2%
e 497961
 
8.1%
a 430647
 
7.0%
i 415064
 
6.8%
s 375337
 
6.1%
o 363571
 
6.0%
n 347498
 
5.7%
t 337376
 
5.5%
r 311535
 
5.1%
c 215605
 
3.5%
Other values (95) 1824507
29.9%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 6110152
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
991051
16.2%
e 497961
 
8.1%
a 430647
 
7.0%
i 415064
 
6.8%
s 375337
 
6.1%
o 363571
 
6.0%
n 347498
 
5.7%
t 337376
 
5.5%
r 311535
 
5.1%
c 215605
 
3.5%
Other values (95) 1824507
29.9%
Distinct2225
Distinct (%)15.7%
Missing0
Missing (%)0.0%
Memory size737.1 KiB
2025-08-12T11:17:00.357918image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length100
Median length88
Mean length77.728243
Min length0

Characters and Unicode

Total characters1099466
Distinct characters74
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2083 ?
Unique (%)14.7%

Sample

1st rowSAP Fiori theme for SAP GUI for HTML (SAP S/4HANA Cloud Private Edition and SAP S/4HANA)
2nd rowSAP Fiori theme for SAP GUI for HTML (SAP S/4HANA Cloud Private Edition and SAP S/4HANA)
3rd rowSAP Fiori theme for SAP GUI for HTML (SAP S/4HANA Cloud Private Edition and SAP S/4HANA)
4th rowSAP Fiori theme for SAP GUI for HTML (SAP S/4HANA Cloud Private Edition and SAP S/4HANA)
5th rowSAP Fiori theme for SAP GUI for HTML (SAP S/4HANA Cloud Private Edition and SAP S/4HANA)
ValueCountFrequency (%)
sap 44848
23.0%
s/4hana 23165
11.9%
for 22724
11.7%
fiori 11432
 
5.9%
edition 11419
 
5.9%
and 11374
 
5.8%
cloud 11322
 
5.8%
private 11248
 
5.8%
theme 11247
 
5.8%
gui 10377
 
5.3%
Other values (1853) 25829
13.2%
2025-08-12T11:17:01.048826image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
181301
16.5%
A 93865
 
8.5%
S 69284
 
6.3%
o 62239
 
5.7%
i 62024
 
5.6%
P 58283
 
5.3%
r 50365
 
4.6%
e 43406
 
3.9%
t 39659
 
3.6%
d 35730
 
3.2%
Other values (64) 403310
36.7%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1099466
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
181301
16.5%
A 93865
 
8.5%
S 69284
 
6.3%
o 62239
 
5.7%
i 62024
 
5.6%
P 58283
 
5.3%
r 50365
 
4.6%
e 43406
 
3.9%
t 39659
 
3.6%
d 35730
 
3.2%
Other values (64) 403310
36.7%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1099466
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
181301
16.5%
A 93865
 
8.5%
S 69284
 
6.3%
o 62239
 
5.7%
i 62024
 
5.6%
P 58283
 
5.3%
r 50365
 
4.6%
e 43406
 
3.9%
t 39659
 
3.6%
d 35730
 
3.2%
Other values (64) 403310
36.7%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1099466
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
181301
16.5%
A 93865
 
8.5%
S 69284
 
6.3%
o 62239
 
5.7%
i 62024
 
5.6%
P 58283
 
5.3%
r 50365
 
4.6%
e 43406
 
3.9%
t 39659
 
3.6%
d 35730
 
3.2%
Other values (64) 403310
36.7%
Distinct1087
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size737.1 KiB
2025-08-12T11:17:01.601324image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length244
Median length100
Mean length90.87006
Min length0

Characters and Unicode

Total characters1285357
Distinct characters73
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique688 ?
Unique (%)4.9%

Sample

1st rowSAP Fiori visual theme for classic applications in SAP S/4HANA Cloud Private Edition and SAP S/4HANA
2nd rowSAP Fiori visual theme for classic applications in SAP S/4HANA Cloud Private Edition and SAP S/4HANA
3rd rowSAP Fiori visual theme for classic applications in SAP S/4HANA Cloud Private Edition and SAP S/4HANA
4th rowSAP Fiori visual theme for classic applications in SAP S/4HANA Cloud Private Edition and SAP S/4HANA
5th rowSAP Fiori visual theme for classic applications in SAP S/4HANA Cloud Private Edition and SAP S/4HANA
ValueCountFrequency (%)
sap 35201
17.4%
s/4hana 23170
11.4%
for 12503
 
6.2%
and 12155
 
6.0%
in 12085
 
6.0%
fiori 11973
 
5.9%
edition 11384
 
5.6%
cloud 11349
 
5.6%
private 11271
 
5.6%
classic 11247
 
5.6%
Other values (1664) 50074
24.7%
2025-08-12T11:17:02.421981image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
189004
 
14.7%
i 123742
 
9.6%
A 82013
 
6.4%
a 78688
 
6.1%
o 66097
 
5.1%
S 58713
 
4.6%
n 57194
 
4.4%
t 54304
 
4.2%
s 53012
 
4.1%
l 49466
 
3.8%
Other values (63) 473124
36.8%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1285357
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
189004
 
14.7%
i 123742
 
9.6%
A 82013
 
6.4%
a 78688
 
6.1%
o 66097
 
5.1%
S 58713
 
4.6%
n 57194
 
4.4%
t 54304
 
4.2%
s 53012
 
4.1%
l 49466
 
3.8%
Other values (63) 473124
36.8%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1285357
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
189004
 
14.7%
i 123742
 
9.6%
A 82013
 
6.4%
a 78688
 
6.1%
o 66097
 
5.1%
S 58713
 
4.6%
n 57194
 
4.4%
t 54304
 
4.2%
s 53012
 
4.1%
l 49466
 
3.8%
Other values (63) 473124
36.8%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1285357
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
189004
 
14.7%
i 123742
 
9.6%
A 82013
 
6.4%
a 78688
 
6.1%
o 66097
 
5.1%
S 58713
 
4.6%
n 57194
 
4.4%
t 54304
 
4.2%
s 53012
 
4.1%
l 49466
 
3.8%
Other values (63) 473124
36.8%
Distinct131
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size737.1 KiB
2025-08-12T11:17:02.825254image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length408
Median length0
Mean length15.177872
Min length0

Characters and Unicode

Total characters214691
Distinct characters48
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)0.2%

Sample

1st row
2nd row
3rd row
4th row
5th row
ValueCountFrequency (%)
and 3728
 
14.8%
finance 2677
 
10.6%
operations 1178
 
4.7%
management 1163
 
4.6%
sales 1060
 
4.2%
budget 936
 
3.7%
development 728
 
2.9%
product 711
 
2.8%
corporate 700
 
2.8%
chain 695
 
2.8%
Other values (82) 11626
46.1%
2025-08-12T11:17:03.538476image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 23271
 
10.8%
23131
 
10.8%
e 20342
 
9.5%
a 17827
 
8.3%
i 13862
 
6.5%
t 11947
 
5.6%
r 10684
 
5.0%
, 10076
 
4.7%
o 7546
 
3.5%
c 7410
 
3.5%
Other values (38) 68595
32.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 214691
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
n 23271
 
10.8%
23131
 
10.8%
e 20342
 
9.5%
a 17827
 
8.3%
i 13862
 
6.5%
t 11947
 
5.6%
r 10684
 
5.0%
, 10076
 
4.7%
o 7546
 
3.5%
c 7410
 
3.5%
Other values (38) 68595
32.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 214691
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
n 23271
 
10.8%
23131
 
10.8%
e 20342
 
9.5%
a 17827
 
8.3%
i 13862
 
6.5%
t 11947
 
5.6%
r 10684
 
5.0%
, 10076
 
4.7%
o 7546
 
3.5%
c 7410
 
3.5%
Other values (38) 68595
32.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 214691
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
n 23271
 
10.8%
23131
 
10.8%
e 20342
 
9.5%
a 17827
 
8.3%
i 13862
 
6.5%
t 11947
 
5.6%
r 10684
 
5.0%
, 10076
 
4.7%
o 7546
 
3.5%
c 7410
 
3.5%
Other values (38) 68595
32.0%
Distinct241
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size737.1 KiB
2025-08-12T11:17:03.921179image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length1592
Median length0
Mean length0.82099682
Min length0

Characters and Unicode

Total characters11613
Distinct characters64
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique158 ?
Unique (%)1.1%

Sample

1st row
2nd row
3rd row
4th row
5th row
ValueCountFrequency (%)
620
34.8%
deprecated 130
 
7.3%
reports,pending 93
 
5.2%
contracts 46
 
2.6%
open 25
 
1.4%
archive 23
 
1.3%
processing 22
 
1.2%
mass 21
 
1.2%
active 20
 
1.1%
for 19
 
1.1%
Other values (298) 761
42.8%
2025-08-12T11:17:04.630387image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1377
 
11.9%
, 1319
 
11.4%
t 820
 
7.1%
r 747
 
6.4%
s 697
 
6.0%
n 666
 
5.7%
600
 
5.2%
o 549
 
4.7%
a 539
 
4.6%
i 512
 
4.4%
Other values (54) 3787
32.6%

Most occurring categories

ValueCountFrequency (%)
(unknown) 11613
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 1377
 
11.9%
, 1319
 
11.4%
t 820
 
7.1%
r 747
 
6.4%
s 697
 
6.0%
n 666
 
5.7%
600
 
5.2%
o 549
 
4.7%
a 539
 
4.6%
i 512
 
4.4%
Other values (54) 3787
32.6%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 11613
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 1377
 
11.9%
, 1319
 
11.4%
t 820
 
7.1%
r 747
 
6.4%
s 697
 
6.0%
n 666
 
5.7%
600
 
5.2%
o 549
 
4.7%
a 539
 
4.6%
i 512
 
4.4%
Other values (54) 3787
32.6%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 11613
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 1377
 
11.9%
, 1319
 
11.4%
t 820
 
7.1%
r 747
 
6.4%
s 697
 
6.0%
n 666
 
5.7%
600
 
5.2%
o 549
 
4.7%
a 539
 
4.6%
i 512
 
4.4%
Other values (54) 3787
32.6%

LeadingIndustry
Categorical

High correlation  Imbalance 

Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size737.1 KiB
11929 
Cross Industry
1921 
Oil, Gas, and Energy
 
71
Retail
 
62
Public Sector
 
51
Other values (10)
 
111

Length

Max length80
Median length0
Mean length2.2335808
Min length0

Characters and Unicode

Total characters31594
Distinct characters37
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row
2nd row
3rd row
4th row
5th row

Common Values

ValueCountFrequency (%)
11929
84.3%
Cross Industry 1921
 
13.6%
Oil, Gas, and Energy 71
 
0.5%
Retail 62
 
0.4%
Public Sector 51
 
0.4%
Defense and Security 28
 
0.2%
Insurance 19
 
0.1%
Utilities 17
 
0.1%
Agribusiness (Consumer Products) 16
 
0.1%
Consumer Products 9
 
0.1%
Other values (5) 22
 
0.2%

Length

2025-08-12T11:17:04.883317image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
cross 1930
42.3%
industry 1930
42.3%
and 114
 
2.5%
oil 71
 
1.6%
gas 71
 
1.6%
energy 71
 
1.6%
retail 66
 
1.4%
public 51
 
1.1%
sector 51
 
1.1%
defense 33
 
0.7%
Other values (15) 175
 
3.8%

Most occurring characters

ValueCountFrequency (%)
s 6060
19.2%
r 4132
13.1%
2347
 
7.4%
n 2252
 
7.1%
t 2148
 
6.8%
u 2104
 
6.7%
d 2077
 
6.6%
o 2060
 
6.5%
y 2029
 
6.4%
C 1957
 
6.2%
Other values (27) 4428
14.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 31594
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
s 6060
19.2%
r 4132
13.1%
2347
 
7.4%
n 2252
 
7.1%
t 2148
 
6.8%
u 2104
 
6.7%
d 2077
 
6.6%
o 2060
 
6.5%
y 2029
 
6.4%
C 1957
 
6.2%
Other values (27) 4428
14.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 31594
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
s 6060
19.2%
r 4132
13.1%
2347
 
7.4%
n 2252
 
7.1%
t 2148
 
6.8%
u 2104
 
6.7%
d 2077
 
6.6%
o 2060
 
6.5%
y 2029
 
6.4%
C 1957
 
6.2%
Other values (27) 4428
14.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 31594
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
s 6060
19.2%
r 4132
13.1%
2347
 
7.4%
n 2252
 
7.1%
t 2148
 
6.8%
u 2104
 
6.7%
d 2077
 
6.6%
o 2060
 
6.5%
y 2029
 
6.4%
C 1957
 
6.2%
Other values (27) 4428
14.0%

LeadingLob
Categorical

High correlation  Imbalance 

Distinct28
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size737.1 KiB
11900 
Finance
 
742
Manufacturing
 
239
Sourcing and Procurement
 
222
Supply Chain
 
198
Other values (23)
 
844

Length

Max length51
Median length0
Mean length2.2149169
Min length0

Characters and Unicode

Total characters31330
Distinct characters42
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row
2nd row
3rd row
4th row
5th row

Common Values

ValueCountFrequency (%)
11900
84.1%
Finance 742
 
5.2%
Manufacturing 239
 
1.7%
Sourcing and Procurement 222
 
1.6%
Supply Chain 198
 
1.4%
Sales 188
 
1.3%
R&D and Product Management 180
 
1.3%
Asset Management 104
 
0.7%
Application Development and Integration 84
 
0.6%
Budget and Finance 34
 
0.2%
Other values (18) 254
 
1.8%

Length

2025-08-12T11:17:05.113781image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
finance 776
19.0%
and 560
13.7%
management 306
 
7.5%
manufacturing 239
 
5.9%
sourcing 222
 
5.4%
procurement 222
 
5.4%
supply 209
 
5.1%
chain 209
 
5.1%
sales 188
 
4.6%
r&d 180
 
4.4%
Other values (35) 970
23.8%

Most occurring characters

ValueCountFrequency (%)
n 4490
14.3%
a 3281
 
10.5%
e 2895
 
9.2%
i 1971
 
6.3%
c 1857
 
5.9%
1836
 
5.9%
t 1665
 
5.3%
r 1456
 
4.6%
u 1447
 
4.6%
o 1040
 
3.3%
Other values (32) 9392
30.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 31330
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
n 4490
14.3%
a 3281
 
10.5%
e 2895
 
9.2%
i 1971
 
6.3%
c 1857
 
5.9%
1836
 
5.9%
t 1665
 
5.3%
r 1456
 
4.6%
u 1447
 
4.6%
o 1040
 
3.3%
Other values (32) 9392
30.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 31330
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
n 4490
14.3%
a 3281
 
10.5%
e 2895
 
9.2%
i 1971
 
6.3%
c 1857
 
5.9%
1836
 
5.9%
t 1665
 
5.3%
r 1456
 
4.6%
u 1447
 
4.6%
o 1040
 
3.3%
Other values (32) 9392
30.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 31330
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
n 4490
14.3%
a 3281
 
10.5%
e 2895
 
9.2%
i 1971
 
6.3%
c 1857
 
5.9%
1836
 
5.9%
t 1665
 
5.3%
r 1456
 
4.6%
u 1447
 
4.6%
o 1040
 
3.3%
Other values (32) 9392
30.0%
Distinct100
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size737.1 KiB
2025-08-12T11:17:05.451265image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length742
Median length0
Mean length75.942524
Min length0

Characters and Unicode

Total characters1074207
Distinct characters45
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)0.1%

Sample

1st row
2nd row
3rd row
4th row
5th row
ValueCountFrequency (%)
and 16970
 
13.9%
high 5333
 
4.4%
tech 5333
 
4.4%
travel 5221
 
4.3%
transportation 5127
 
4.2%
products 3719
 
3.0%
defense 3300
 
2.7%
entertainment 3079
 
2.5%
oil 1984
 
1.6%
energy 1984
 
1.6%
Other values (45) 70438
57.5%
2025-08-12T11:17:05.991276image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
120351
 
11.2%
e 88040
 
8.2%
n 81949
 
7.6%
i 74816
 
7.0%
a 65895
 
6.1%
r 63997
 
6.0%
t 62620
 
5.8%
s 56348
 
5.2%
o 55147
 
5.1%
; 47748
 
4.4%
Other values (35) 357296
33.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 1074207
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
120351
 
11.2%
e 88040
 
8.2%
n 81949
 
7.6%
i 74816
 
7.0%
a 65895
 
6.1%
r 63997
 
6.0%
t 62620
 
5.8%
s 56348
 
5.2%
o 55147
 
5.1%
; 47748
 
4.4%
Other values (35) 357296
33.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 1074207
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
120351
 
11.2%
e 88040
 
8.2%
n 81949
 
7.6%
i 74816
 
7.0%
a 65895
 
6.1%
r 63997
 
6.0%
t 62620
 
5.8%
s 56348
 
5.2%
o 55147
 
5.1%
; 47748
 
4.4%
Other values (35) 357296
33.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 1074207
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
120351
 
11.2%
e 88040
 
8.2%
n 81949
 
7.6%
i 74816
 
7.0%
a 65895
 
6.1%
r 63997
 
6.0%
t 62620
 
5.8%
s 56348
 
5.2%
o 55147
 
5.1%
; 47748
 
4.4%
Other values (35) 357296
33.3%
Distinct2251
Distinct (%)24.0%
Missing4784
Missing (%)33.8%
Memory size737.1 KiB
2025-08-12T11:17:06.421553image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length28952
Median length4264
Mean length456.03803
Min length40

Characters and Unicode

Total characters4268972
Distinct characters72
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1454 ?
Unique (%)15.5%

Sample

1st rowDivisional Accountant : Defines division-related master data and transfer prices between different divisions. Analyzes costs and margin for division. Prepares the division reporting package. Cost Accountant - Overhead : Defines overhead master data and the period-end allocation cycle. Implements period-end allocation and monitors overhead costs. Reports expenses on the income statement in the period in which they are incurred. Controller : Sets up and edits organizational structures so that all processes and reports are as accurate as possible. Edits master data, reorganizes company structures, and performs period-end functions. General Ledger Accountant : Carries out daily activities in general ledger, for example by recording transactions and making adjustment postings, and prepares financial statements.
2nd rowAsset Accountant : Capitalizes costs of assets during purchasing and production processes, defines depreciation parameters, and records depreciation. Ensures correctness, completeness, and documentation of the balance sheet for fixed assets.
3rd rowAsset Accountant : Capitalizes costs of assets during purchasing and production processes, defines depreciation parameters, and records depreciation. Ensures correctness, completeness, and documentation of the balance sheet for fixed assets.
4th rowAsset Accountant : Capitalizes costs of assets during purchasing and production processes, defines depreciation parameters, and records depreciation. Ensures correctness, completeness, and documentation of the balance sheet for fixed assets.
5th rowAsset Accountant : Capitalizes costs of assets during purchasing and production processes, defines depreciation parameters, and records depreciation. Ensures correctness, completeness, and documentation of the balance sheet for fixed assets.
ValueCountFrequency (%)
and 35112
 
6.0%
29387
 
5.0%
the 22675
 
3.9%
of 13042
 
2.2%
for 12612
 
2.1%
to 9874
 
1.7%
accounts 8541
 
1.5%
is 8262
 
1.4%
in 8064
 
1.4%
accountant 7633
 
1.3%
Other values (1736) 432984
73.6%
2025-08-12T11:17:06.998861image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
564052
13.2%
e 373074
 
8.7%
a 313158
 
7.3%
n 312807
 
7.3%
t 282931
 
6.6%
s 263297
 
6.2%
i 252989
 
5.9%
o 243682
 
5.7%
r 234559
 
5.5%
c 179070
 
4.2%
Other values (62) 1249353
29.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 4268972
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
564052
13.2%
e 373074
 
8.7%
a 313158
 
7.3%
n 312807
 
7.3%
t 282931
 
6.6%
s 263297
 
6.2%
i 252989
 
5.9%
o 243682
 
5.7%
r 234559
 
5.5%
c 179070
 
4.2%
Other values (62) 1249353
29.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 4268972
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
564052
13.2%
e 373074
 
8.7%
a 313158
 
7.3%
n 312807
 
7.3%
t 282931
 
6.6%
s 263297
 
6.2%
i 252989
 
5.9%
o 243682
 
5.7%
r 234559
 
5.5%
c 179070
 
4.2%
Other values (62) 1249353
29.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 4268972
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
564052
13.2%
e 373074
 
8.7%
a 313158
 
7.3%
n 312807
 
7.3%
t 282931
 
6.6%
s 263297
 
6.2%
i 252989
 
5.9%
o 243682
 
5.7%
r 234559
 
5.5%
c 179070
 
4.2%
Other values (62) 1249353
29.3%
Distinct353
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size737.1 KiB
2025-08-12T11:17:07.410247image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length282
Median length0
Mean length8.5884765
Min length0

Characters and Unicode

Total characters121484
Distinct characters59
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique104 ?
Unique (%)0.7%

Sample

1st row
2nd row
3rd row
4th row
5th row
ValueCountFrequency (%)
s/4 2407
 
16.8%
management 1376
 
9.6%
and 892
 
6.2%
cld 429
 
3.0%
data 253
 
1.8%
accounting 217
 
1.5%
processing 192
 
1.3%
for 179
 
1.2%
sales 166
 
1.2%
contract 164
 
1.1%
Other values (408) 8087
56.3%
2025-08-12T11:17:08.115357image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12220
 
10.1%
n 10196
 
8.4%
e 9998
 
8.2%
a 8996
 
7.4%
t 7249
 
6.0%
i 5723
 
4.7%
S 4584
 
3.8%
o 4562
 
3.8%
r 4099
 
3.4%
( 3664
 
3.0%
Other values (49) 50193
41.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 121484
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
12220
 
10.1%
n 10196
 
8.4%
e 9998
 
8.2%
a 8996
 
7.4%
t 7249
 
6.0%
i 5723
 
4.7%
S 4584
 
3.8%
o 4562
 
3.8%
r 4099
 
3.4%
( 3664
 
3.0%
Other values (49) 50193
41.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 121484
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
12220
 
10.1%
n 10196
 
8.4%
e 9998
 
8.2%
a 8996
 
7.4%
t 7249
 
6.0%
i 5723
 
4.7%
S 4584
 
3.8%
o 4562
 
3.8%
r 4099
 
3.4%
( 3664
 
3.0%
Other values (49) 50193
41.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 121484
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
12220
 
10.1%
n 10196
 
8.4%
e 9998
 
8.2%
a 8996
 
7.4%
t 7249
 
6.0%
i 5723
 
4.7%
S 4584
 
3.8%
o 4562
 
3.8%
r 4099
 
3.4%
( 3664
 
3.0%
Other values (49) 50193
41.3%
Distinct1498
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Memory size737.1 KiB
2025-08-12T11:17:08.423501image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length2204
Median length0
Mean length5.125486
Min length0

Characters and Unicode

Total characters72500
Distinct characters75
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1029 ?
Unique (%)7.3%

Sample

1st row
2nd rowAsset Accounting-Specific
3rd rowUnplanned and Planned
4th rowWithout Customer
5th rowBy Scrapping
ValueCountFrequency (%)
429
 
4.6%
for 269
 
2.9%
russia 152
 
1.6%
management 127
 
1.4%
system 123
 
1.3%
information 113
 
1.2%
china 109
 
1.2%
analysis 93
 
1.0%
orders 91
 
1.0%
greece 88
 
0.9%
Other values (1444) 7757
83.0%
2025-08-12T11:17:09.250131image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 6403
 
8.8%
a 5422
 
7.5%
n 5077
 
7.0%
t 4737
 
6.5%
i 4722
 
6.5%
r 4562
 
6.3%
4520
 
6.2%
s 4007
 
5.5%
o 3878
 
5.3%
l 2799
 
3.9%
Other values (65) 26373
36.4%

Most occurring categories

ValueCountFrequency (%)
(unknown) 72500
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 6403
 
8.8%
a 5422
 
7.5%
n 5077
 
7.0%
t 4737
 
6.5%
i 4722
 
6.5%
r 4562
 
6.3%
4520
 
6.2%
s 4007
 
5.5%
o 3878
 
5.3%
l 2799
 
3.9%
Other values (65) 26373
36.4%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 72500
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 6403
 
8.8%
a 5422
 
7.5%
n 5077
 
7.0%
t 4737
 
6.5%
i 4722
 
6.5%
r 4562
 
6.3%
4520
 
6.2%
s 4007
 
5.5%
o 3878
 
5.3%
l 2799
 
3.9%
Other values (65) 26373
36.4%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 72500
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 6403
 
8.8%
a 5422
 
7.5%
n 5077
 
7.0%
t 4737
 
6.5%
i 4722
 
6.5%
r 4562
 
6.3%
4520
 
6.2%
s 4007
 
5.5%
o 3878
 
5.3%
l 2799
 
3.9%
Other values (65) 26373
36.4%

Title
Text

Distinct11638
Distinct (%)82.3%
Missing0
Missing (%)0.0%
Memory size737.1 KiB
2025-08-12T11:17:09.675100image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Length

Max length2343
Median length257
Mean length26.939272
Min length0

Characters and Unicode

Total characters381056
Distinct characters83
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10851 ?
Unique (%)76.7%

Sample

1st rowProfit Center Assignment Monitor
2nd rowReverse Journal Entry
3rd rowPost Depreciation Manually
4th rowPost Retirement (Non-Integrated)
5th rowPost Retirement
ValueCountFrequency (%)
display 1610
 
3.2%
create 1162
 
2.3%
manage 954
 
1.9%
for 948
 
1.9%
change 822
 
1.6%
maintain 687
 
1.4%
of 571
 
1.1%
data 549
 
1.1%
list 429
 
0.9%
documents 351
 
0.7%
Other values (4569) 42121
83.9%
2025-08-12T11:17:10.293541image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 38110
 
10.0%
37328
 
9.8%
t 27274
 
7.2%
a 27076
 
7.1%
n 25349
 
6.7%
i 23325
 
6.1%
r 20618
 
5.4%
s 20535
 
5.4%
o 20146
 
5.3%
l 13519
 
3.5%
Other values (73) 127776
33.5%

Most occurring categories

ValueCountFrequency (%)
(unknown) 381056
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
e 38110
 
10.0%
37328
 
9.8%
t 27274
 
7.2%
a 27076
 
7.1%
n 25349
 
6.7%
i 23325
 
6.1%
r 20618
 
5.4%
s 20535
 
5.4%
o 20146
 
5.3%
l 13519
 
3.5%
Other values (73) 127776
33.5%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 381056
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
e 38110
 
10.0%
37328
 
9.8%
t 27274
 
7.2%
a 27076
 
7.1%
n 25349
 
6.7%
i 23325
 
6.1%
r 20618
 
5.4%
s 20535
 
5.4%
o 20146
 
5.3%
l 13519
 
3.5%
Other values (73) 127776
33.5%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 381056
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
e 38110
 
10.0%
37328
 
9.8%
t 27274
 
7.2%
a 27076
 
7.1%
n 25349
 
6.7%
i 23325
 
6.1%
r 20618
 
5.4%
s 20535
 
5.4%
o 20146
 
5.3%
l 13519
 
3.5%
Other values (73) 127776
33.5%

Correlations

2025-08-12T11:17:10.419042image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
AppTypeLeadingIndustryLeadingLob
AppType1.0000.3390.324
LeadingIndustry0.3391.0000.744
LeadingLob0.3240.7441.000

Missing values

2025-08-12T11:16:51.339126image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
A simple visualization of nullity by column.
2025-08-12T11:16:51.629684image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2025-08-12T11:16:52.000532image/svg+xmlMatplotlib v3.10.0, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

AppKeyFeaturesAppNameAppTypeApplicationComponentTextBusinessRoleDescriptionCombinedTitleGTMAppDescriptionGTMAppNameGTMInnovationNameGTMLoBNameInformationLeadingIndustryLeadingLobPFDBIndustryRoleCombinedToolTipDescriptionSolutionsCapabilitySubtitleTitle
1KE4You can obtain overviews for the following object types: Orders Business processes Cost centers Cost objects Materials Work breakdown structures Sales order items Real Estate Objects (RE-FX); The overviews for this object type are only available when the component Flexible Real Estate Management (RE-FX) is activated in the client. You can obtain the following overviews for all of the object types listed above: Overview of non-assigned objects for the relevant object type (such as materials that are not assigned to a profit center) Overview of objects for the relevant object type that are assigned to a specific profit center (such as all cost centers that are assigned to profit center A) or that are assigned to a profit center from a specific profit center group Some object types have special features: For orders , you can analyze the assignments to the following order types: internal order (Controlling), accrual order (Controlling), CO production order, production cost collector, QM order, PP production order, network header, maintenance order, and process order. For Cost Centers , you can additionally display the profit centers to which no cost center has yet been assigned. For Cost Objects, general cost objects are included as well as the cost objects for process manufacturing. For materials, you can additionally navigate to Fast Assignment of Materials , which lets you assign a large number of materials to a unique profit center. For the overviews of sales order items , the following applies: The system checks the read authorization for order types and sales organizations and only displays objects that have the corresponding read authorization. The system proceeds as follows with the selection criteria company code and sales organization : If you do not specify a company code, the system selects the company codes that are assigned to the set controlling area. If you do not specify a sales organization, the system selects the sales organizations that are assigned to the company codes. For the overviews of real estate objects , the following applies: If you do not specify a company code, the system selects the company codes that are assigned to the set controlling area. By double-clicking an object in the assignment overviews, you can navigate directly to the corresponding change transaction for that object. In this way, you can make any missing assignments or correct any incorrect ones.Profit Center Assignment MonitorSAP GUIProfit Center AccountingDivisional AccountantProfit Center Assignment MonitorThe assignment monitor provides you with an overview of all the assignments that you have made from various objects to profit centers and supports you when you make or change assignments. Recommendation Incorrect assignments lead to incorrect transaction data in Profit Center Accounting, which can usually only be corrected with significant effort. We therefore recommend that you check the assignments carefully.SAP Fiori theme for SAP GUI for HTML (SAP S/4HANA Cloud Private Edition and SAP S/4HANA)SAP Fiori visual theme for classic applications in SAP S/4HANA Cloud Private Edition and SAP S/4HANADivisional Accountant : \r\nDefines division-related master data and transfer prices between different divisions. Analyzes costs and margin for division. Prepares the division reporting package.\r\n\r\nCost Accountant - Overhead : \r\nDefines overhead master data and the period-end allocation cycle. Implements period-end allocation and monitors overhead costs. Reports expenses on the income statement in the period in which they are incurred.\r\n\r\nController : \r\nSets up and edits organizational structures so that all processes and reports are as accurate as possible. Edits master data, reorganizes company structures, and performs period-end functions.\r\n\r\nGeneral Ledger Accountant : \r\nCarries out daily activities in general ledger, for example by recording transactions and making adjustment postings, and prepares financial statements.Profit Center Assignment Monitor
AB08Reverse Journal Entry - Asset Accounting-SpecificSAP GUIBasic FunctionsAsset AccountantReverse Journal Entry - Asset Accounting-SpecificThis app is a SAP GUI for HTML transaction. These classic transactions are available in the SAP Fiori theme to support a seamless user experience across the SAP Fiori launchpad and to provide a harmonized user experience across on-premise and cloud solutions. The single point of entry for SAP Fiori apps and classic applications in SAP S/4HANA Cloud Private Edition and SAP S/4HANA is the SAP Fiori launchpad.SAP Fiori theme for SAP GUI for HTML (SAP S/4HANA Cloud Private Edition and SAP S/4HANA)SAP Fiori visual theme for classic applications in SAP S/4HANA Cloud Private Edition and SAP S/4HANAAsset Accountant : \r\nCapitalizes costs of assets during purchasing and production processes, defines depreciation parameters, and records depreciation. Ensures correctness, completeness, and documentation of the balance sheet for fixed assets.Asset Accounting-SpecificReverse Journal Entry
ABAALThe Asset Accounting component consists of the following parts: Basic functions:Master data (asset maintenance) Basic valuation functions Depreciation Transactions, such as asset acquisitions and retirements Closing operations And more Special valuations: for example, for investment support Preparations for consolidation for group financial statements Information system The basic functions cover the entire life of the asset from the purchase order or initial acquisition (which can be managed as an asset under construction) all the way to the asset retirement. The system calculates, to a large extent automatically, the values for depreciation, interest and other purposes between these two points in time, and places this information at your disposal in varied form using the Information System. There is a report for depreciation forecasting and simulation of the development of asset values. The system enables you to manage values in parallel currencies using different types of valuation. These features simplify the process of preparing for the consolidation of multi-national group concerns. For parallel valuation, you can flexibly assign the depreciation areas of Asset Accounting to the ledgers of the general ledger. The system posts parallel values with the actual values in real time; separate documents are posted for each valuation (that is, each accounting principle). Note The following functions are covered by other components: The Plant Maintenance (PM) component offers functions for the technical management of assets in the form of functional locations and as equipment. The Treasury and Risk Management (TRM) component offers special functions for managing financial assets.Post Depreciation Manually - Unplanned and PlannedSAP GUIAsset AccountingAsset AccountantPost Depreciation Manually - Unplanned and PlannedAsset Accounting in the SAP system is used for managing and monitoring fixed assets. In Financial Accounting, it serves as a subsidiary ledger to the general ledger, providing detailed information on transactions involving fixed assets.SAP Fiori theme for SAP GUI for HTML (SAP S/4HANA Cloud Private Edition and SAP S/4HANA)SAP Fiori visual theme for classic applications in SAP S/4HANA Cloud Private Edition and SAP S/4HANAAsset Accountant : \r\nCapitalizes costs of assets during purchasing and production processes, defines depreciation parameters, and records depreciation. Ensures correctness, completeness, and documentation of the balance sheet for fixed assets.Unplanned and PlannedPost Depreciation Manually
ABAONPost Retirement (Non-Integrated) - Without CustomerSAP GUIBasic FunctionsAsset AccountantPost Retirement (Non-Integrated) - Without CustomerThis app is a SAP GUI for HTML transaction. These classic transactions are available in the SAP Fiori theme to support a seamless user experience across the SAP Fiori launchpad and to provide a harmonized user experience across on-premise and cloud solutions. The single point of entry for SAP Fiori apps and classic applications in SAP S/4HANA Cloud Private Edition and SAP S/4HANA is the SAP Fiori launchpad.SAP Fiori theme for SAP GUI for HTML (SAP S/4HANA Cloud Private Edition and SAP S/4HANA)SAP Fiori visual theme for classic applications in SAP S/4HANA Cloud Private Edition and SAP S/4HANAAsset Accountant : \r\nCapitalizes costs of assets during purchasing and production processes, defines depreciation parameters, and records depreciation. Ensures correctness, completeness, and documentation of the balance sheet for fixed assets.Without CustomerPost Retirement (Non-Integrated)
ABAVNPost Retirement - By ScrappingSAP GUIBasic FunctionsAsset AccountantPost Retirement - By ScrappingThis app is a SAP GUI for HTML transaction. These classic transactions are available in the SAP Fiori theme to support a seamless user experience across the SAP Fiori launchpad and to provide a harmonized user experience across on-premise and cloud solutions. The single point of entry for SAP Fiori apps and classic applications in SAP S/4HANA Cloud Private Edition and SAP S/4HANA is the SAP Fiori launchpad.SAP Fiori theme for SAP GUI for HTML (SAP S/4HANA Cloud Private Edition and SAP S/4HANA)SAP Fiori visual theme for classic applications in SAP S/4HANA Cloud Private Edition and SAP S/4HANAAsset Accountant : \r\nCapitalizes costs of assets during purchasing and production processes, defines depreciation parameters, and records depreciation. Ensures correctness, completeness, and documentation of the balance sheet for fixed assets.By ScrappingPost Retirement
ABAWLPost Asset RevaluationSAP GUIAsset AccountingAsset AccountantPost Asset RevaluationThis app is a SAP GUI for HTML transaction. These classic transactions are available in the SAP Fiori theme to support a seamless user experience across the SAP Fiori launchpad and to provide a harmonized user experience across on-premise and cloud solutions. The single point of entry for SAP Fiori apps and classic applications in SAP S/4HANA Cloud Private Edition and SAP S/4HANA is the SAP Fiori launchpad.SAP Fiori theme for SAP GUI for HTML (SAP S/4HANA Cloud Private Edition and SAP S/4HANA)SAP Fiori visual theme for classic applications in SAP S/4HANA Cloud Private Edition and SAP S/4HANAAsset Accountant : \r\nCapitalizes costs of assets during purchasing and production processes, defines depreciation parameters, and records depreciation. Ensures correctness, completeness, and documentation of the balance sheet for fixed assets.Post Asset Revaluation
ABAWNPost Revaluation - With New Value MethodSAP GUIBasic FunctionsPost Revaluation - With New Value MethodThis app is a SAP GUI for HTML transaction. These classic transactions are available in the SAP Fiori theme to support a seamless user experience across the SAP Fiori launchpad and to provide a harmonized user experience across on-premise and cloud solutions. The single point of entry for SAP Fiori apps and classic applications in SAP S/4HANA Cloud Private Edition and SAP S/4HANA is the SAP Fiori launchpad.SAP Fiori theme for SAP GUI for HTML (SAP S/4HANA Cloud Private Edition and SAP S/4HANA)SAP Fiori visual theme for classic applications in SAP S/4HANA Cloud Private Edition and SAP S/4HANANoneWith New Value MethodPost Revaluation
ABGFLPost Credit Memo - After Year of InvoiceSAP GUIAsset AccountingAsset AccountantPost Credit Memo - After Year of InvoiceThis app is a SAP GUI for HTML transaction. These classic transactions are available in the SAP Fiori theme to support a seamless user experience across the SAP Fiori launchpad and to provide a harmonized user experience across on-premise and cloud solutions. The single point of entry for SAP Fiori apps and classic applications in SAP S/4HANA Cloud Private Edition and SAP S/4HANA is the SAP Fiori launchpad.SAP Fiori theme for SAP GUI for HTML (SAP S/4HANA Cloud Private Edition and SAP S/4HANA)SAP Fiori visual theme for classic applications in SAP S/4HANA Cloud Private Edition and SAP S/4HANAFor UPA: DeprecatedAsset Accountant : \r\nCapitalizes costs of assets during purchasing and production processes, defines depreciation parameters, and records depreciation. Ensures correctness, completeness, and documentation of the balance sheet for fixed assets.After Year of InvoicePost Credit Memo
ABGLLPost Credit Memo - In Year of InvoiceSAP GUIAsset AccountingAsset AccountantPost Credit Memo - In Year of InvoiceThis app is a SAP GUI for HTML transaction. These classic transactions are available in the SAP Fiori theme to support a seamless user experience across the SAP Fiori launchpad and to provide a harmonized user experience across on-premise and cloud solutions. The single point of entry for SAP Fiori apps and classic applications in SAP S/4HANA Cloud Private Edition and SAP S/4HANA is the SAP Fiori launchpad.SAP Fiori theme for SAP GUI for HTML (SAP S/4HANA Cloud Private Edition and SAP S/4HANA)SAP Fiori visual theme for classic applications in SAP S/4HANA Cloud Private Edition and SAP S/4HANAFor UPA: DeprecatedAccounts Payable Accountant : \r\nCarries out the most important functions in accounts payable accounting with a special focus on creation and execution.\r\n\r\nAsset Accountant : \r\nCapitalizes costs of assets during purchasing and production processes, defines depreciation parameters, and records depreciation. Ensures correctness, completeness, and documentation of the balance sheet for fixed assets.In Year of InvoicePost Credit Memo
ABLDTSteps with the Manual Transfer of Legacy Data The manual legacy data transfer includes the following steps: Create the asset master records for the legacy data transfer.Customizing activity: Asset Accounting&nbsp;&nbsp;Asset Data Transfer&nbsp;&nbsp;Manual Data Transfer&nbsp;&nbsp;Legacy Fixed Asset&nbsp;&nbsp;Create Master Data for Legacy Asset (transaction AS91) Post the transfer values.Customizing activity: Asset Accounting&nbsp;&nbsp;Asset Data Transfer&nbsp;&nbsp;Manual Data Transfer&nbsp;&nbsp;Legacy Fixed Asset&nbsp;&nbsp;Post Transfer Values (transaction ABLDT)A journal entry is posted for the asset with this. The G/L accounts are also updated. For each asset a transfer document is created that posts the transfer values, for example, on the APC and accumulated depreciation account and against the offsetting account for the legacy data transfer. With a data transfer during the year, you transfer asset-related business transactions that occurred before the transfer date in the current fiscal year (transfer using transaction AB01L).If a posting date in the current fiscal year is entered that is before the transfer date, the system recognizes this business transaction as a transfer document; no depreciation is calculated, the document is posted against the offsetting account for the legacy data transfer. For assets under construction that are line item-managed, transfer the open items.Customizing activity: Asset Accounting&nbsp;&nbsp;Asset Data Transfer&nbsp;&nbsp;Manual Data Transfer&nbsp;&nbsp;Legacy Fixed Asset&nbsp;&nbsp;AUC with Line Item Management: Transfer Line Items, transaction ABLDT_OI) More Functions with the Manual Legacy Data Transfer You can also use the following functions with the manual legacy data transfer: You can display the master data.Customizing activity: Asset Accounting&nbsp;&nbsp;Asset Data Transfer&nbsp;&nbsp;Manual Data Transfer&nbsp;&nbsp;Legacy Fixed Asset&nbsp;&nbsp;Create Master Data for Legacy Asset (transaction AS93) You can modify the master data.Customizing activity: Asset Accounting&nbsp;&nbsp;Asset Data Transfer&nbsp;&nbsp;Manual Data Transfer&nbsp;&nbsp;Legacy Fixed Asset&nbsp;&nbsp;Display Master Data for Legacy Asset (transaction AS92) You can create subnumbers for the asset master record.Customizing activity: Asset Accounting&nbsp;&nbsp;Asset Data Transfer&nbsp;&nbsp;Manual Data Transfer&nbsp;&nbsp;Legacy Fixed Asset&nbsp;&nbsp;Create Master Data for Subnumber for Legacy Asset (transaction AS94) Master Data You create master data for legacy assets exactly the same way as you create regular asset master data. However, take into account the following special features of legacy assets: The capitalization date is always a required entry. Using the capitalization date, the system determines the depreciation start date and the expired useful life, based on the period control in the depreciation key.If the asset was acquired at a time when the company code had a different fiscal year variant, this determination of the useful life will be correct only if the period calendar assignments have been maintained historically. The planned useful life is a required entry when a depreciation key for automatic depreciation calculation has been entered.You can also account for increased wear and tear on an asset in the past as the result of multiple shift use. You do this by manually correcting the expired useful life that was automatically calculated by the system. Time-dependent data (such as the assignment to a cost center) can only be transferred with the values current on the transfer date. To create new time intervals, you have to use the function for changing master data. Post Asset Values (Transfer Values). Take into account the following special features when transferring legacy asset values: Depreciation areas:You must take all active depreciation areas for the asset into account, and enter the historical acquisition costs. Posted depreciation (for a transfer during the year)If you transfer legacy data during the fiscal year, you can enter the depreciation that was already posted in the legacy system in the current fiscal year.Specify the last depreciation period posted (in the legacy system) (field FAA_DEPR_PERIOD) when entering the depreciation posted in the transfer year. The system requires this information to determine the first period for the depreciation that should be posted in the SAP system.Manual depreciation first generates a statistical noted item in Asset Accounting and, depending on the posting indicator for the depreciation area, is posted to the FI accounts with the following depreciation run. Make sure then that, for a transfer during the year of depreciation posted manually (for example, with transaction type 640), the respective amount (depending on the posting indicator and on whether postings to FI accounts took place in the legacy system or not) has to be a partial amount of the posted depreciation transferred during the year (transaction type 500). Transactions (for a transfer during the fiscal year)With a legacy data transfer during the fiscal year, the transfer date of the given company code is not the end of the fiscal year (see Transfer During the Year). You can transfer the transactions from the current fiscal year up to the date of the transfer for legacy data transfer during the fiscal year.Make the following entries when transferring transactions:Asset value dateNote that the asset value date has to be in the current fiscal year, and it must lie before the transfer date. Transaction type Posting Amount Posted revaluations:Posted revaluations are first entered in Asset Accounting as statistical items and are only then transferred (posted) to the FI accounts with the next depreciation run. Depending on the Customizing settings for the depreciation area, it is therefore necessary to specify the revaluations within the framework of the depreciation posted during the year as both a statistical line item as well as a “posted value”. The values you enter are also checked against the positive/negative sign rules of the depreciation area (positive/negative net book value, positive/negative ordinary depreciation, and so on). Change Transfer Values Subsequently If wrong transfer values were posted, you must reverse the journal entry and then enter the transfer values again. You can only change transfer values by reversing the posted transfer document and making a new posting. To be able to reverse a transfer document, subsequent transactions are not allowed to exist on the fixed asset. If follow-on transactions were already posted on the fixed asset, we recommend you proceed as follows: Reverse all transactions in reverse chronological order. Reverse the transfer transaction. Post the new transfer values. Enter the follow-on transactions again individually. Depreciation Areas in Foreign Currencies With the manual data transfer, you must transfer the historical values from the feeder system. The foreign currency amounts cannot be determined using an exchange rate by a specified key date. The system therefore does not support historical currency translations; in fact you must enter the values. Note The settings defined in Customizing activity Asset Accounting&nbsp;&nbsp;Asset Data Transfer&nbsp;&nbsp;Parameters for Data Transfer&nbsp;&nbsp;Transfer Foreign Currency Areas (transaction OAYD) only affect automatic transfers; they have no effect on manual data transfers (transaction ABLDT). Line Item-Managed Assets under Construction (AuC) To ensure that the line item-managed assets under construction are included, the transfer values are not allowed to be entered as accumulated values in Customizing activity Asset Accounting&nbsp;&nbsp;Asset Data Transfer&nbsp;&nbsp;Manual Data Transfer&nbsp;&nbsp;Legacy Fixed Asset&nbsp;&nbsp;Post Transfer Values (transaction ABLDT). You must enter the values individually instead using transaction ABLDT_OI. You must use the specific transaction types 900 and 910 for the transfer. If you have the special case of proportional depreciation on the AuC, then enter this as proportional depreciation from the previous years using the transaction.Post Transfer Values - For Legacy AssetSAP GUIBasic FunctionsAsset AccountantPost Transfer Values - For Legacy AssetYou can use this function to manually create legacy assets in the system.SAP Fiori theme for SAP GUI for HTML (SAP S/4HANA Cloud Private Edition and SAP S/4HANA)SAP Fiori visual theme for classic applications in SAP S/4HANA Cloud Private Edition and SAP S/4HANAAsset Accountant : \r\nCapitalizes costs of assets during purchasing and production processes, defines depreciation parameters, and records depreciation. Ensures correctness, completeness, and documentation of the balance sheet for fixed assets.For Legacy AssetPost Transfer Values
AppKeyFeaturesAppNameAppTypeApplicationComponentTextBusinessRoleDescriptionCombinedTitleGTMAppDescriptionGTMAppNameGTMInnovationNameGTMLoBNameInformationLeadingIndustryLeadingLobPFDBIndustryRoleCombinedToolTipDescriptionSolutionsCapabilitySubtitleTitle
_SYCLO_CORE_CONFIG_SYSTEM ()Configure System SettingsWeb DynproS4MFND/SMFND-Mobile Add-On integration foundationConfiguration Expert - Mobile IntegrationConfigure System SettingsThis app is a Web Dynpro for ABAP application. These classic applications are available in the SAP Fiori theme to support a seamless user experience across the SAP Fiori launchpad and to provide a harmonized user experience across on-premise and cloud solutions. The single point of entry for SAP Fiori apps and classic applications in SAP S/4HANA Cloud Private Edition and SAP S/4HANA is the SAP Fiori launchpad.SAP Fiori theme for Web Dynpro for ABAP (SAP S/4HANA Cloud Private Edition and SAP S/4HANA)SAP Fiori visual theme for classic applications in SAP S/4HANA Cloud Private Edition and SAP S/4HANAConfiguration Expert - Mobile Integration : \r\nIs responsible for setting up / maintaining configurations of mobile applications with the Mobile Application Integration Framework.Configure System Settings
_TMF_CTR_TECH_INFOCTR Tech Info - BrazilSAP GUITax Management Framework BrazilGeneral Ledger Accountant for BrazilCTR Tech Info - BrazilThis app is a SAP GUI for HTML transaction. These classic transactions are available in the SAP Fiori theme to support a seamless user experience across the SAP Fiori launchpad and to provide a harmonized user experience across on-premise and cloud solutions. The single point of entry for SAP Fiori apps and classic applications in SAP S/4HANA Cloud Private Edition and SAP S/4HANA is the SAP Fiori launchpad.SAP Fiori theme for SAP GUI for HTML (SAP S/4HANA Cloud Private Edition and SAP S/4HANA)SAP Fiori visual theme for classic applications in SAP S/4HANA Cloud Private Edition and SAP S/4HANAGeneral Ledger Accountant for Brazil: (is an add-on role to the General Ledger Accountant)\r\nCarries out the tax and financial reporting tasks needed to fulfill the legal requirements in Brazil.BrazilCTR Tech Info
_TMF_IMPDELEXL_GUIDelete Complementary Data from SPED Registers - BrazilSAP GUITax Management Framework BrazilGeneral Ledger Accountant for BrazilDelete Complementary Data from SPED Registers - BrazilThis app is a SAP GUI for HTML transaction. These classic transactions are available in the SAP Fiori theme to support a seamless user experience across the SAP Fiori launchpad and to provide a harmonized user experience across on-premise and cloud solutions. The single point of entry for SAP Fiori apps and classic applications in SAP S/4HANA Cloud Private Edition and SAP S/4HANA is the SAP Fiori launchpad.SAP Fiori theme for SAP GUI for HTML (SAP S/4HANA Cloud Private Edition and SAP S/4HANA)SAP Fiori visual theme for classic applications in SAP S/4HANA Cloud Private Edition and SAP S/4HANAGeneral Ledger Accountant for Brazil: (is an add-on role to the General Ledger Accountant)\r\nCarries out the tax and financial reporting tasks needed to fulfill the legal requirements in Brazil.BrazilDelete Complementary Data from SPED Registers
_TMF_IMPEXL_GUIImport Complementary Data to SPED Registers - BrazilSAP GUITax Management Framework BrazilGeneral Ledger Accountant for BrazilImport Complementary Data to SPED Registers - BrazilUse this report to upload Excel files that contain information that are relevant for SPED registers.SAP Fiori theme for SAP GUI for HTML (SAP S/4HANA Cloud Private Edition and SAP S/4HANA)SAP Fiori visual theme for classic applications in SAP S/4HANA Cloud Private Edition and SAP S/4HANAGeneral Ledger Accountant for Brazil: (is an add-on role to the General Ledger Accountant)\r\nCarries out the tax and financial reporting tasks needed to fulfill the legal requirements in Brazil.BrazilImport Complementary Data to SPED Registers
_TMF_SHEET_GENGenerate Template File for SPED Registers - BrazilSAP GUITax Management Framework BrazilGeneral Ledger Accountant for BrazilGenerate Template File for SPED Registers - BrazilThis app is a SAP GUI for HTML transaction. These classic transactions are available in the SAP Fiori theme to support a seamless user experience across the SAP Fiori launchpad and to provide a harmonized user experience across on-premise and cloud solutions. The single point of entry for SAP Fiori apps and classic applications in SAP S/4HANA Cloud Private Edition and SAP S/4HANA is the SAP Fiori launchpad.SAP Fiori theme for SAP GUI for HTML (SAP S/4HANA Cloud Private Edition and SAP S/4HANA)SAP Fiori visual theme for classic applications in SAP S/4HANA Cloud Private Edition and SAP S/4HANAGeneral Ledger Accountant for Brazil: (is an add-on role to the General Ledger Accountant)\r\nCarries out the tax and financial reporting tasks needed to fulfill the legal requirements in Brazil.BrazilGenerate Template File for SPED Registers
_TMF_TRACE_LOGTrace Log - BrazilSAP GUITax Management Framework BrazilGeneral Ledger Accountant for BrazilTrace Log - BrazilThis app is a SAP GUI for HTML transaction. These classic transactions are available in the SAP Fiori theme to support a seamless user experience across the SAP Fiori launchpad and to provide a harmonized user experience across on-premise and cloud solutions. The single point of entry for SAP Fiori apps and classic applications in SAP S/4HANA Cloud Private Edition and SAP S/4HANA is the SAP Fiori launchpad.SAP Fiori theme for SAP GUI for HTML (SAP S/4HANA Cloud Private Edition and SAP S/4HANA)SAP Fiori visual theme for classic applications in SAP S/4HANA Cloud Private Edition and SAP S/4HANAGeneral Ledger Accountant for Brazil: (is an add-on role to the General Ledger Accountant)\r\nCarries out the tax and financial reporting tasks needed to fulfill the legal requirements in Brazil.BrazilTrace Log
_UI2_CDM3_EXP_SCOPEManage Content for Launchpad on SAP Cloud PlatformSAP GUISAP Fiori Launchpad ABAP ServicesManage Content for Launchpad on SAP Cloud PlatformThis app is a SAP GUI for HTML transaction. These classic transactions are available in the SAP Fiori theme to support a seamless user experience across the SAP Fiori launchpad and to provide a harmonized user experience across on-premise and cloud solutions. The single point of entry for SAP Fiori apps and classic applications in SAP S/4HANA Cloud Private Edition and SAP S/4HANA is the SAP Fiori launchpad.SAP Fiori theme for SAP GUI for HTML (SAP S/4HANA Cloud Private Edition and SAP S/4HANA)SAP Fiori visual theme for classic applications in SAP S/4HANA Cloud Private Edition and SAP S/4HANANoneManage Content for Launchpad on SAP Cloud Platform
_UI2_FDM_GTP (_UI2_FDM_GTP)Create Launchpad Pages from GroupsWeb DynproSAP Fiori Launchpad ABAP ServicesCreate Launchpad Pages from GroupsThis app is a Web Dynpro for ABAP application. These classic applications are available in the SAP Fiori theme to support a seamless user experience across the SAP Fiori launchpad and to provide a harmonized user experience across on-premise and cloud solutions. The single point of entry for SAP Fiori apps and classic applications in SAP S/4HANA Cloud Private Edition and SAP S/4HANA is the SAP Fiori launchpad.SAP Fiori theme for Web Dynpro for ABAP (SAP S/4HANA Cloud Private Edition and SAP S/4HANA)SAP Fiori visual theme for classic applications in SAP S/4HANA Cloud Private Edition and SAP S/4HANANoneCreate Launchpad Pages from Groups
_UI2_FLPCM_CONFLaunchpad Content Manager - Cross ClientSAP GUISAP Fiori Launchpad ABAP Content Admin ToolsLaunchpad Content Manager - Cross ClientThis app is a SAP GUI for HTML transaction. These classic transactions are available in the SAP Fiori theme to support a seamless user experience across the SAP Fiori launchpad and to provide a harmonized user experience across on-premise and cloud solutions. The single point of entry for SAP Fiori apps and classic applications in SAP S/4HANA Cloud Private Edition and SAP S/4HANA is the SAP Fiori launchpad.SAP Fiori theme for SAP GUI for HTML (SAP S/4HANA Cloud Private Edition and SAP S/4HANA)SAP Fiori visual theme for classic applications in SAP S/4HANA Cloud Private Edition and SAP S/4HANANoneCross ClientLaunchpad Content Manager
_UI2_FLPCM_CUSTLaunchpad Content Manager - Client SpecificSAP GUISAP Fiori Launchpad ABAP Content Admin ToolsLaunchpad Content Manager - Client SpecificThis app is a SAP GUI for HTML transaction. These classic transactions are available in the SAP Fiori theme to support a seamless user experience across the SAP Fiori launchpad and to provide a harmonized user experience across on-premise and cloud solutions. The single point of entry for SAP Fiori apps and classic applications in SAP S/4HANA Cloud Private Edition and SAP S/4HANA is the SAP Fiori launchpad.SAP Fiori theme for SAP GUI for HTML (SAP S/4HANA Cloud Private Edition and SAP S/4HANA)SAP Fiori visual theme for classic applications in SAP S/4HANA Cloud Private Edition and SAP S/4HANANoneClient SpecificLaunchpad Content Manager

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AppKeyFeaturesAppNameAppTypeApplicationComponentTextBusinessRoleDescriptionCombinedTitleGTMAppDescriptionGTMAppNameGTMInnovationNameGTMLoBNameInformationLeadingIndustryLeadingLobPFDBIndustryRoleCombinedToolTipDescriptionSolutionsCapabilitySubtitleTitle# duplicates
22Process DME Files - ArgentinaSAP GUIS/4HANA Cloud: Authorization ContentProcess DME Files - ArgentinaThis app is a SAP GUI for HTML transaction. These classic transactions are available in the SAP Fiori theme to support a seamless user experience across the SAP Fiori launchpad and to provide a harmonized user experience across on-premise and cloud solutions. The single point of entry for SAP Fiori apps and classic applications in SAP S/4HANA Cloud Private Edition and SAP S/4HANA is the SAP Fiori launchpad.SAP Fiori theme for SAP GUI for HTML (SAP S/4HANA Cloud Private Edition and SAP S/4HANA)SAP Fiori visual theme for classic applications in SAP S/4HANA Cloud Private Edition and SAP S/4HANANaNArgentinaProcess DME Files3
0Account BalancesSAP GUIInformation SystemNaNThis app is a SAP GUI for HTML transaction. These classic transactions are available in the SAP Fiori theme to support a seamless user experience across the SAP Fiori launchpad and to provide a harmonized user experience across on-premise and cloud solutions. The single point of entry for SAP Fiori apps and classic applications in SAP S/4HANA Cloud Private Edition and SAP S/4HANA is the SAP Fiori launchpad.SAP Fiori theme for SAP GUI for HTML (SAP S/4HANA Cloud Private Edition and SAP S/4HANA)SAP Fiori visual theme for classic applications in SAP S/4HANA Cloud Private Edition and SAP S/4HANANaN2
1Account List for Company CodeSAP GUIInformation SystemNaNThis app is a SAP GUI for HTML transaction. These classic transactions are available in the SAP Fiori theme to support a seamless user experience across the SAP Fiori launchpad and to provide a harmonized user experience across on-premise and cloud solutions. The single point of entry for SAP Fiori apps and classic applications in SAP S/4HANA Cloud Private Edition and SAP S/4HANA is the SAP Fiori launchpad.SAP Fiori theme for SAP GUI for HTML (SAP S/4HANA Cloud Private Edition and SAP S/4HANA)SAP Fiori visual theme for classic applications in SAP S/4HANA Cloud Private Edition and SAP S/4HANANaN2
2Change of Accrual/Deferral ResultsSAP GUIService Charge SettlementChange of Accrual/Deferral ResultsThis app is a SAP GUI for HTML transaction. These classic transactions are available in the SAP Fiori theme to support a seamless user experience across the SAP Fiori launchpad and to provide a harmonized user experience across on-premise and cloud solutions. The single point of entry for SAP Fiori apps and classic applications in SAP S/4HANA Cloud Private Edition and SAP S/4HANA is the SAP Fiori launchpad.SAP Fiori theme for SAP GUI for HTML (SAP S/4HANA Cloud Private Edition and SAP S/4HANA)SAP Fiori visual theme for classic applications in SAP S/4HANA Cloud Private Edition and SAP S/4HANANaNChange of Accrual/Deferral Results2
3Close Earmarked Funds ItemsSAP GUIFunds managementClose Earmarked Funds ItemsThis app is a SAP GUI for HTML transaction. These classic transactions are available in the SAP Fiori theme to support a seamless user experience across the SAP Fiori launchpad and to provide a harmonized user experience across on-premise and cloud solutions. The single point of entry for SAP Fiori apps and classic applications in SAP S/4HANA Cloud Private Edition and SAP S/4HANA is the SAP Fiori launchpad.SAP Fiori theme for SAP GUI for HTML (SAP S/4HANA Cloud Private Edition and SAP S/4HANA)SAP Fiori visual theme for classic applications in SAP S/4HANA Cloud Private Edition and SAP S/4HANANaNClose Earmarked Funds Items2
4Coll FICA Posting for Compensation - HungarySAP GUIUtilitiesColl FICA Posting for Compensation - HungaryThis app is a SAP GUI for HTML transaction. These classic transactions are available in the SAP Fiori theme to support a seamless user experience across the SAP Fiori launchpad and to provide a harmonized user experience across on-premise and cloud solutions. The single point of entry for SAP Fiori apps and classic applications in SAP S/4HANA Cloud Private Edition and SAP S/4HANA is the SAP Fiori launchpad.SAP Fiori theme for SAP GUI for HTML (SAP S/4HANA Cloud Private Edition and SAP S/4HANA)SAP Fiori visual theme for classic applications in SAP S/4HANA Cloud Private Edition and SAP S/4HANANaNHungaryColl FICA Posting for Compensation2
5Create Pricing Condition Records (Supplier Claim) - Warranty Supplier Claim ProcessingSAP GUIWarranty Claim ProcessingCreate Pricing Condition Records (Supplier Claim) - Warranty Supplier Claim ProcessingThis app is a SAP GUI for HTML transaction. These classic transactions are available in the SAP Fiori theme to support a seamless user experience across the SAP Fiori launchpad and to provide a harmonized user experience across on-premise and cloud solutions. The single point of entry for SAP Fiori apps and classic applications in SAP S/4HANA Cloud Private Edition and SAP S/4HANA is the SAP Fiori launchpad.SAP Fiori theme for SAP GUI for HTML (SAP S/4HANA Cloud Private Edition and SAP S/4HANA)SAP Fiori visual theme for classic applications in SAP S/4HANA Cloud Private Edition and SAP S/4HANANaNWarranty Supplier Claim ProcessingCreate Pricing Condition Records (Supplier Claim)2
6DetailsWeb DynproCommercial Project Management - Issue and Change ManagementProject Manager (CPM)NaNThis app is a Web Dynpro for ABAP application. These classic applications are available in the SAP Fiori theme to support a seamless user experience across the SAP Fiori launchpad and to provide a harmonized user experience across on-premise and cloud solutions. The single point of entry for SAP Fiori apps and classic applications in SAP S/4HANA Cloud Private Edition and SAP S/4HANA is the SAP Fiori launchpad.SAP Fiori theme for Web Dynpro for ABAP (SAP S/4HANA Cloud Private Edition and SAP S/4HANA)SAP Fiori visual theme for classic applications in SAP S/4HANA Cloud Private Edition and SAP S/4HANAProject Manager (Commercial Project Management) : \r\nManages execution of commercial projects ensuring scope, time, budget & client satisfaction.2
7Display Application Log - AdditionalsSAP GUIAdditionals ManagementAllocator (Retail)Display Application Log - AdditionalsThis app is a SAP GUI for HTML transaction. These classic transactions are available in the SAP Fiori theme to support a seamless user experience across the SAP Fiori launchpad and to provide a harmonized user experience across on-premise and cloud solutions. The single point of entry for SAP Fiori apps and classic applications in SAP S/4HANA Cloud Private Edition and SAP S/4HANA is the SAP Fiori launchpad.SAP Fiori theme for SAP GUI for HTML (SAP S/4HANA Cloud Private Edition and SAP S/4HANA)SAP Fiori visual theme for classic applications in SAP S/4HANA Cloud Private Edition and SAP S/4HANAAllocator (Retail) : \r\nIs responsible for the distribution of products from distribution centers to stores throughout the lifecycle of these products.AdditionalsDisplay Application Log2
8Display Bank ChangesSAP GUIBank Master DataDisplay Bank ChangesThis app is a SAP GUI for HTML transaction. These classic transactions are available in the SAP Fiori theme to support a seamless user experience across the SAP Fiori launchpad and to provide a harmonized user experience across on-premise and cloud solutions. The single point of entry for SAP Fiori apps and classic applications in SAP S/4HANA Cloud Private Edition and SAP S/4HANA is the SAP Fiori launchpad.SAP Fiori theme for SAP GUI for HTML (SAP S/4HANA Cloud Private Edition and SAP S/4HANA)SAP Fiori visual theme for classic applications in SAP S/4HANA Cloud Private Edition and SAP S/4HANANaNDisplay Bank Changes2